GB2500303A - Estimating reliability of predicted classifications made by a machine learning algorithm - Google Patents
Estimating reliability of predicted classifications made by a machine learning algorithm Download PDFInfo
- Publication number
- GB2500303A GB2500303A GB1301447.7A GB201301447A GB2500303A GB 2500303 A GB2500303 A GB 2500303A GB 201301447 A GB201301447 A GB 201301447A GB 2500303 A GB2500303 A GB 2500303A
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- 238000004422 calculation algorithm Methods 0.000 title abstract description 7
- 238000010801 machine learning Methods 0.000 title description 3
- 238000000034 method Methods 0.000 claims abstract description 34
- 238000013145 classification model Methods 0.000 claims abstract description 17
- 238000012549 training Methods 0.000 claims description 121
- 238000005259 measurement Methods 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 11
- 230000000717 retained effect Effects 0.000 claims description 4
- 230000004044 response Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 19
- 238000007635 classification algorithm Methods 0.000 description 11
- 230000006870 function Effects 0.000 description 11
- 239000006227 byproduct Substances 0.000 description 6
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
- G06F18/2193—Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/048—Fuzzy inferencing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
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- Entrepreneurship & Innovation (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Public Health (AREA)
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- Databases & Information Systems (AREA)
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- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
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- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Pathology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Epidemiology (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Automation & Control Theory (AREA)
- Fuzzy Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/400,070 US9087303B2 (en) | 2012-02-19 | 2012-02-19 | Classification reliability prediction |
Publications (2)
Publication Number | Publication Date |
---|---|
GB201301447D0 GB201301447D0 (en) | 2013-03-13 |
GB2500303A true GB2500303A (en) | 2013-09-18 |
Family
ID=47890864
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB1301447.7A Withdrawn GB2500303A (en) | 2012-02-19 | 2013-01-28 | Estimating reliability of predicted classifications made by a machine learning algorithm |
Country Status (4)
Country | Link |
---|---|
US (2) | US9087303B2 (de) |
CN (1) | CN103258239B (de) |
DE (1) | DE102013202457A1 (de) |
GB (1) | GB2500303A (de) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2672394C1 (ru) * | 2017-07-26 | 2018-11-14 | Общество С Ограниченной Ответственностью "Яндекс" | Способы и системы для оценки обучающих объектов посредством алгоритма машинного обучения |
Families Citing this family (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10915557B2 (en) * | 2013-01-31 | 2021-02-09 | Walmart Apollo, Llc | Product classification data transfer and management |
US20150142717A1 (en) * | 2013-11-19 | 2015-05-21 | Microsoft Corporation | Providing reasons for classification predictions and suggestions |
US10043112B2 (en) * | 2014-03-07 | 2018-08-07 | Qualcomm Incorporated | Photo management |
US10325220B2 (en) * | 2014-11-17 | 2019-06-18 | Oath Inc. | System and method for large-scale multi-label learning using incomplete label assignments |
EP3136270B1 (de) * | 2015-08-26 | 2021-02-24 | Viavi Solutions Inc. | Identifizierung von rohmaterial mit spektroskopie |
JP6946081B2 (ja) * | 2016-12-22 | 2021-10-06 | キヤノン株式会社 | 情報処理装置、情報処理方法、プログラム |
WO2018130442A1 (en) | 2017-01-11 | 2018-07-19 | Koninklijke Philips N.V. | Method and system for automated inclusion or exclusion criteria detection |
CN107330522B (zh) * | 2017-07-04 | 2021-06-08 | 北京百度网讯科技有限公司 | 用于更新深度学习模型的方法、装置及系统 |
CN108052987B (zh) * | 2017-12-29 | 2020-11-13 | 苏州体素信息科技有限公司 | 图像分类输出结果的检测方法 |
US11455493B2 (en) | 2018-05-16 | 2022-09-27 | International Business Machines Corporation | Explanations for artificial intelligence based recommendations |
US10990452B2 (en) * | 2018-07-24 | 2021-04-27 | Vmware, Inc. | Reliability determination of workload migration activities |
CN110858326B (zh) * | 2018-08-15 | 2024-06-07 | 第四范式(北京)技术有限公司 | 模型训练及获取附加特征数据的方法、装置、设备及介质 |
CN110059743B (zh) * | 2019-04-15 | 2021-10-29 | 北京致远慧图科技有限公司 | 确定预测的可靠性度量的方法、设备和存储介质 |
US11568169B2 (en) * | 2019-04-28 | 2023-01-31 | International Business Machines Corporation | Identifying data drifts that have an adverse effect on predictors |
US10891546B2 (en) | 2019-04-29 | 2021-01-12 | Google Llc | Network anomaly detection |
US11710068B2 (en) * | 2019-11-24 | 2023-07-25 | International Business Machines Corporation | Labeling a dataset |
US11941496B2 (en) * | 2020-03-19 | 2024-03-26 | International Business Machines Corporation | Providing predictions based on a prediction accuracy model using machine learning |
CN111797895B (zh) * | 2020-05-30 | 2024-04-26 | 华为技术有限公司 | 一种分类器的训练方法、数据处理方法、系统以及设备 |
CN112836772A (zh) * | 2021-04-02 | 2021-05-25 | 四川大学华西医院 | 基于LightGBM集成多个BERT模型的随机对照试验识别方法 |
DE102022209898A1 (de) * | 2022-09-20 | 2024-03-21 | Siemens Mobility GmbH | Sichere steuerung von technisch-physikalischen systemen |
CN116757534B (zh) * | 2023-06-15 | 2024-03-15 | 中国标准化研究院 | 一种基于神经训练网络的智能冰箱可靠性分析方法 |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
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US5822741A (en) * | 1996-02-05 | 1998-10-13 | Lockheed Martin Corporation | Neural network/conceptual clustering fraud detection architecture |
JP2002092305A (ja) * | 2000-09-13 | 2002-03-29 | Hitachi Ltd | スコア算出方法及びスコア提供方法 |
US7107254B1 (en) * | 2001-05-07 | 2006-09-12 | Microsoft Corporation | Probablistic models and methods for combining multiple content classifiers |
US20030126606A1 (en) * | 2001-12-27 | 2003-07-03 | Koninklijke Philips Esectronics N.V. | Hierarchical decision fusion of recommender scores |
US7512496B2 (en) | 2002-09-25 | 2009-03-31 | Soheil Shams | Apparatus, method, and computer program product for determining confidence measures and combined confidence measures for assessing the quality of microarrays |
US7644049B2 (en) | 2004-11-19 | 2010-01-05 | Intel Corporation | Decision forest based classifier for determining predictive importance in real-time data analysis |
US7577709B1 (en) | 2005-02-17 | 2009-08-18 | Aol Llc | Reliability measure for a classifier |
JP4735973B2 (ja) * | 2006-03-27 | 2011-07-27 | 学校法人明治大学 | 電力価格ゾーン予測方法、及び電力価格ゾーン予測プログラム |
US7890438B2 (en) * | 2007-12-12 | 2011-02-15 | Xerox Corporation | Stacked generalization learning for document annotation |
IL188726A (en) | 2008-01-10 | 2013-05-30 | Deutsche Telekom Ag | A stacking scheme for tasks was classified |
US20110106734A1 (en) | 2009-04-24 | 2011-05-05 | Terrance Boult | System and appartus for failure prediction and fusion in classification and recognition |
CN102110365B (zh) * | 2009-12-28 | 2013-11-06 | 日电(中国)有限公司 | 基于时空关系的路况预测方法和系统 |
US8924313B2 (en) * | 2010-06-03 | 2014-12-30 | Xerox Corporation | Multi-label classification using a learned combination of base classifiers |
-
2012
- 2012-02-19 US US13/400,070 patent/US9087303B2/en not_active Expired - Fee Related
-
2013
- 2013-01-28 GB GB1301447.7A patent/GB2500303A/en not_active Withdrawn
- 2013-02-14 DE DE102013202457A patent/DE102013202457A1/de not_active Ceased
- 2013-02-18 CN CN201310052243.5A patent/CN103258239B/zh not_active Expired - Fee Related
-
2015
- 2015-06-03 US US14/729,080 patent/US9342789B2/en not_active Expired - Fee Related
Non-Patent Citations (1)
Title |
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None * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
RU2672394C1 (ru) * | 2017-07-26 | 2018-11-14 | Общество С Ограниченной Ответственностью "Яндекс" | Способы и системы для оценки обучающих объектов посредством алгоритма машинного обучения |
US11416765B2 (en) | 2017-07-26 | 2022-08-16 | Yandex Europe Ag | Methods and systems for evaluating training objects by a machine learning algorithm |
Also Published As
Publication number | Publication date |
---|---|
CN103258239B (zh) | 2016-12-28 |
US9342789B2 (en) | 2016-05-17 |
US9087303B2 (en) | 2015-07-21 |
CN103258239A (zh) | 2013-08-21 |
GB201301447D0 (en) | 2013-03-13 |
US20130218813A1 (en) | 2013-08-22 |
DE102013202457A1 (de) | 2013-08-22 |
US20150262070A1 (en) | 2015-09-17 |
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Legal Events
Date | Code | Title | Description |
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WAP | Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1) |